Calculate biggest crypto movers based on price, volume or market cap

crypto-winners.py

def calc_relative_diff(history_price, latest_price):
    price_diff = latest_price - history_price
    return round(price_diff / history_price, 2)


def calc_volume_diff(history_volume, latest_volume):
    return latest_volume - history_volume


def calc_market_cap_diff(market_cap, history_price, latest_price):
    return (latest_price - history_price) * market_cap


def calculate_crypto_winners(days_back):
    latest_data = get_tickers()
    history_data = get_history_at(days_back)
    coin_supply = get_coin_supplies()
    scores = []
    for coin in coins:
        base_coin = coin[:3]
        latest = latest_data[coin]
        history = history_data[coin]

        price_diff = latest['last'] - history['average']
        rel_price_diff = calc_relative_diff(history['average'], latest['last'])
        volume_diff = calc_volume_diff(history['volume'], latest['volume'])
        mcap_diff = calc_market_cap_diff(coin_supply[base_coin]['circulating_supply'], history['average'], latest['last'])
        scores.append((coin, price_diff, rel_price_diff, volume_diff, mcap_diff))

    # by specifying key=operator.itemgetter(1) we are sorting by the second field in scores, the price difference
    # to sort by the other fields, rel_price_diff, volume_diff or mcap_diff pass in the fields index to the itemgetter function
    scores.sort(reverse=True, key=operator.itemgetter(1))
    i = 1
    print("#. Coin, Price change, Price perc change, Volume change, Marketcap change")
    for coin, price_diff, rel_price_diff, volume_diff, mcap_diff in scores:
        print(f"{i}. {coin}, {price_diff}, {rel_price_diff}%, {volume_diff}, {mcap_diff} ")
        i += 1


if __name__ == '__main__':
    calculate_crypto_winners(7)